تخمین سطح تنش رطوبتی خاک با استفاده از مدل HYRDUS2D و سیستم استنتاج عصبی- فازی

نوع مقاله: مقاله پژوهشی

نویسندگان

1 1- استادیار گروه مهندسی آب، دانشکده ی آب و خاک، دانشگاه زابل (مکاتبه کننده)

2 استادیار گروه مهندسی آب، دانشکده‌ی آب و خاک، دانشگاه زابل

چکیده

در این پژوهش، به­منظور تعیین طول دوره­ی تنش در طول فصل کشت، قابلیت مدل­های HYDRUS2D و ANFIS در
شبیه­سازی روند تغییرات زمانی رطوبت خاک و اجزای بیلان آب تحت آبیاری کامل و کم­آبیاری معمولی در دو سطح 75 (DI75) و 55 درصد (DI55) در یک مزرعه­ی ذرت با یکدیگر مقایسه شدند. بدین منظور، طی دو فصل زراعی داده­های رطوبت خاک با استفاده از رطوبت­سنج TRIME-FM برای واسنجی و صحت­یابی مدل HYDRUS2D برداشت شد. همچنین، شبیه­سازی تغییرات زمانی رطوبت خاک با مدل ANFIS با توابع عضویت مختلف و با متغیرهای مستقل روز بعد از کاشت، ضریب درجه-روز، سطح تنش و عمق آب آّبیاری انجام شد. مقایسه­­ی معیارهای ارزیابیِ جذر میانگین مربعات خطا (mm 2-21/8)، خطای انحراف (mm 6/11-7-10) و ضریب کارآیی مدل (1-63/0) در شبیه­سازیِ طول دوره­­ی تنش، رطوبت و اجزای بیلان خاک، امکان جایگزینی مدل ANFIS با مدل پیچیده­ی HYDRUS2D را در شرایط معرفی متغیرهای مستقل مناسب را نشان می­دهد. هچنین، علی­رغم اعمال زود هنگام­تر تیمارها در فصل دوم، عدم تغییر بازه­ی تنش رطوبتی در تیمار DI75 در دو فصل (از روز 82­ام تا انتهای فصل کاشت)، امکان کاهش سطح آب مصرفی و یا تغییر زمان اعمال کم­آبیاری را نشان می­دهد. بر اساس نتایج این پژوهش، مدل ANFIS می­تواند پاسخگوی نیاز در این راستا باشد.

کلیدواژه‌ها


عنوان مقاله [English]

Estimating the water stress in soil using HYDRUS2D and Adaptive Neuro-Fuzzy Interference System

نویسندگان [English]

  • Fatemeh Karandish 1
  • Parviz Haghighatju 2
1 Assistant Professor, Water Engineering Department, Water and Soil Faculty, University of Zabol, Zabol, Iran
چکیده [English]

Most In this research, the ability of HYDRUS2D and ANFIS models for simulating temporal variations of soil water content and soil water balance components under full irrigation and water deficit irrigation with two levels of 75 and 55 percentage in a maize field were compared to determine water stress duration in the growing season. To do so, soil water content was measured using TRIME-FM TDR sensors during two growing seasons for calibrating and validating HYDRUS2D model. Also, soil water content was simulated using ANFIS with different type of membership functions and using independent variables of days after planting, GDD, irrigation depth and water stress level. Comparing root mean square error, mean bias error and model efficiency coefficient indices for simulating soil water content stress period duration, soil water content and soil water balance components demonstrated the possibility of using ANFIS instead of a complicated model such as HYDRUS2D when defining the suitable independent variables. Despite 10 days sooner application of treatments in second growing season, the same water stress duration under DI75 treatment for both growing season (i.e. since 82 DAP till harvest) shows that it is possible to apply treatments either sooner or with higher intensity when applying deficit irrigation. Based on the results, ANFIS model could be used for these purposes.

کلیدواژه‌ها [English]

  • ANFIS
  • Deficit irrigation
  • GDD
  • Soil water content
  • water balance components
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